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<br /> <br />I <br />, <br />I <br />t <br />! <br /> <br />f <br />I <br />~ <br />, <br /> <br />I <br /> <br />, <br />I <br /> <br />JARRETI AND TOMUNSON: REGIONAL INTERDISClPUNARY PALEOF1.00D METHOD <br /> <br />rivers in the study area are relatively armored with cobQ!e and <br />boulders and floodplain sediments typically are fine-grained <br />but stable for long periods (Table 2), paleoflood reconstruc- <br />tions reflect reiatively stable conditions. The HWM-PSI rela- <br />tions developed from recent floods in the western United <br />States [Jarrett ef al., 1996J, which included several documented <br />1995 floods in northwestern Colorado, help to reduce the un- <br />certainty of paleodischarge estimates. In addition, when using <br />paleoflood techniques to estimate peak discharge of recent <br />large floods where gaged flood data were available to assess the <br />reliabiiity, the paleoflood estimates were within about 10% of <br />large gaged floods and further document the value of the <br />critical-depth method (Tabie 2). Therefore paleoflood esti- <br />mates for this study are believed to have total uncertainties of <br />about 25 to 30%. <br />The greatest sources of uncertainty on flood variability are <br />natural or anthropogenic climate change (variability) effects. <br />Paleoflood estimates incorporate the effects of climatic <br />changes on hydrology during the period of the paleoflood <br />record [Jarrett, 1991J. Certainly, moderate climate changes (or <br />other changes such as wildfire effects on flooding or vegetation <br />changes) have occurred during the Holocene; however, these <br />effects are reflected in the maximum flood preserved at a site. <br />Paleoflood data where the maximum age during which the <br />flood occurred is at ieast 5000 years are denoted with large, <br />soiid triangles, and small, solid triangles denote a maximum <br />age of less than 5000 years (Figure 9). The envelope curve of <br />maximum flooding incorporating the paieoflood data (Figure <br />9) is about 20 to 25% larger than contemporary maximum <br />flooding in about the past 100 years since streamflow monitor- <br />ing began (Figure 9). This modest increase likeiy is due to the <br />large spatial extent of the database and relatively iow- <br />magnitude flooding in northwestern Colorado. Variability in <br />climate and basin conditions during the Holocene does not <br />appear to have had a large impact on flood magnitude, and the <br />assumption of stationarity may be valid for the upper end of <br />the flood-frequency CUIVes in the study area. Thus the enve- <br />lope curve (Figure 9) probably reflects an upper bound of <br />flooding during the Holocene in northwestern Colorado. <br />More quantification (e.g., using one-dimensional or two- <br />dimensional hydraulic modeling to calculate paleoflood dis- <br />charges, using absolute-age dating of flood deposits, more ro- <br />bust flood-frequency parameter estimation procedures, <br />regional flood-frequency analysis with paleoflood data, etc.) <br />would improve the accuracy of individual paleoflood estimates <br />and better quantification of uncertainties. However, the inter- <br />pretation that no substantial flooding has occurred during the <br />Holocene in northwestern Colorado, including Elkhead Creek, <br />would not differ. While use of complex procedures might pro- <br />vide a more precise quantitative description of the data, dis- <br />charge and frequency estimates of extreme floods in a basin <br />may be readily estimated by the paleoflood techniques de- <br />scribed above that provide a cost-effective approach. <br />A critical assumption for calculation of PMP estimates is <br />geographic transposition of storm events from geographically <br />and climatologically similar locations to watershed of interest. <br />However, the NRC [1994] cautions that storm transposition <br />and moisture ma'cimization need to be for a slightly different <br />location in the same climatic region. Regional analyses of rain- <br />fa]], streamflow, and paleoflood data in the present study pro- <br />vide information to evaluate the assumptions about large rain- <br />storms in northwestern Colorado. <br />The assumption that large rainstorms or rain on snow pro- <br /> <br />2979 <br /> <br />duce iarge floods in the Rocky Mountains [FEMA, 1976; Han- <br />sen ef aI., 1977, 1988] has implications for dam safety and <br />floodplain management. Although a number of streamflow- <br />gaging stations in the Yampa River basin had over 75 years of <br />record, but no large rainfall floods, these iong-term gaged data <br />were assumed not to be representative of extreme flood po- <br />. tential from rainfall by FEMA (1976J. Thus the flood hydrology <br />for some studies was based on transposing distant, large rain- <br />storms from Arizona, New Mexico, and southwestern Colo- <br />rado into northwestern Colorado and using rainfall-runoff <br />modeling to adjust the upper end of the gaged flood-frequency <br />relation [FEMA, 1976J. The flood.frequency relation for Elk- <br />head Creek at Elkhead Reservoir developed by Ayres Associ- <br />ates, Inc. (written communication, 1996) (Figure 11 and Tabie <br />3) essentia]]y is the same as the flood-frequency relations from <br />this study up to about the 20-year flood. The Ayres relation <br />sharpiy increases above the 20-year flood, falls outside the <br />confidence iimits of the regional flood-frequency reiations <br />above the 50-year flood, exceeds the maximum paleoflood for <br />the basin at a recurrence interval of about 150 years, and <br />exceeds the envelope curve value of 250 m3 s-\ which is not <br />reasonabie hydrologically. <br />Similar to Eikhead Creek, the FEMA and gaged flood- <br />frequency relations for the Yampa River at Steamboat Springs <br />(Table 3 and Figure 12), where data collection began in 1904, <br />have good agreement to about the 50-year flood. For larger <br />recurrence intervals the FEMA reiation increases sharply and <br />does not fall within the 95% confidence limits for the flood- <br />frequency relation based on streamflow data. In addition, the <br />FEMA 500-year flood is almost double the maximum paleo- <br />flood estimate of 311 m' S-I. The PMF for Stagecoach Res- <br />ervoir iocated on the Yampa River upstream from Steamboat <br />Springs (Figure 12) aiso far exceeds a 10,OOO-year recurrence <br />interval. Similar results for Walton Creek near Steamboat <br />Springs are iisted in Table 3. <br />The difference for larger recurrence intervals primarily re- <br />sults from transposition of distant rainstorms over basins in <br />northwestern Colorado and then using rainfall-runoff model- <br />ing to estimate the upper end of flood-frequency relation as <br />well as the PMF. The gage and paieoflood data provide infor- <br />mation that can be used to refine assumptions used to estimate <br />extreme flooding using storm transposition and rainfall-runoff <br />modeling to at ieast a recurrence interval of 5000 years. The <br />paleoflood data provide no support for sharp upward slope <br />increase of the frequency curve. <br />To help place the flood and paleoflood data in a regional <br />probabilistic context, the EMA relations (with averagel <br />regional skew) for the eight stations (Tabie 3) were plotted <br />versus drainage area (Figure 13). Although flooding results <br />from several factors (basin siope, precipitation indices, vege- <br />tation, etc.) other than drainage area, there is a fairiy good <br />relation between gaged sites. In addition, the envelope curve <br />defined by the paleoflood data also can be placed in a proba- <br />bility context. <br />The site-specific PMP study conducted for the Elkhead <br />Creek drainage basin west of the Continental Divide in north- <br />western Colorado revisited various issues related to the PMP <br />under the explicit conditions which exist at Elkhead Reservoir <br />and other reservoirs in northern Colorado (Tomlinson and <br />Solak, 1997J. These issues included a physical accounting of the <br />effect of topography on storm transpositioning, downslope <br />wind flows under PMP storm conditions, and high-altitude <br />moisture depletion. The combined results of the hydrologic <br /> <br />il <br />'1 <br />,: <br />I <br />, <br />, <br /> <br />i <br />)1' <br />~i <br />,t' <br /> <br />~.. <br />~ <br />'I <br />,. <br />" <br />'Z <br />~j <br />~:: <br />" <br />,. <br /> <br />.:~ <br />'il <br />